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Advances in Computational Intelligence

17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Ignacio Rojas

    1. University of Granada, Granada, Spain

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    You can also search for this editor in PubMed   Google Scholar

  2. Gonzalo Joya

    1. University of Malaga, Málaga, Spain

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    You can also search for this editor in PubMed   Google Scholar

  3. Andreu Catala

    1. Polytechnic University of Catalonia, Vilanova i la Geltrú, Spain

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14134)

Included in the following conference series:

Conference proceedings info: IWANN 2023.

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About this book

This two-volume set LNCS 14134 and LNCS 14135 constitutes the refereed proceedings of the 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, held in Ponta Delgada, Portugal, during June 19–21, 2023.

The 108 full papers presented in this two-volume set were carefully reviewed and selected from 149 submissions.

The papers in Part I are organized in topical sections on advanced topics in computational intelligence; advances in artificial neural networks; ANN HW-accelerators; applications of machine learning in biomedicine and healthcare; and applications of machine learning in time series analysis.

The papers in Part II are organized in topical sections on deep learning and applications; deep learning applied to computer vision and robotics; general applications of artificial intelligence; interaction with neural systems in both health and disease; machine learning for 4.0 industry solutions; neural networks in chemistry and materialcharacterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms. 

 

Keywords

Table of contents (55 papers)

  1. Advances in Artificial Neural Networks

    1. Fine-Tuned SqueezeNet Lightweight Model for Classifying Surface Defects in Hot-Rolled Steel

      • Francisco López de la Rosa, José Luis Gómez-Sirvent, Lidia María Belmonte, Rafael Morales, Antonio Fernández-Caballero
      Pages 221-233

    2. Shot Boundary Detection with Augmented Annotations

      • Miguel Jose Esteve Brotons, Jorge Carmona Blanco, Francisco Javier Lucendo, José García-Rodríguez
      Pages 234-250

    3. 3D Human Body Models: Parametric and Generative Methods Review

      • Nahuel Emiliano Garcia-D’Urso, Pablo Ramon Guevara, Jorge Azorin-Lopez, Andres Fuster-Guillo
      Pages 251-262

    4. Deep Learning Recommendation System for Stock Market Investments

      • Michal Parzyszek, Stanislaw Osowski
      Pages 263-275

    5. Minimal Optimal Region Generation for Enhanced Object Detection in Aerial Images Using Super-Resolution and Convolutional Neural Networks

      • Iván García-Aguilar, Lipika Deka, Rafael Marcos Luque-Baena, Enrique Domínguez, Ezequiel López-Rubio
      Pages 276-287

    6. Long-Term Hail Risk Assessment with Deep Neural Networks

      • Mikhail Mozikov, Ivan Lukyanenko, Ilya Makarov, Alexander Bulkin, Yury Maximov
      Pages 288-301

    7. Video Scene Segmentation Based on Triplet Loss Ranking

      • Miguel Jose Esteve Brotons, Jorge Carmona Blanco, Francisco Javier Lucendo, José García-Rodríguez
      Pages 302-315

    8. A Model for Classifying Emergency Events Based on Social Media Multimodal Data

      • ZhenHua Wu, Liangyu Chen, YuanTao Song
      Pages 316-327

    9. A Performance Evaluation of Lightweight Deep Learning Approaches for Bird Recognition

      • Dmitrij Teterja, Jose Garcia-Rodriguez, Jorge Azorin-Lopez, Esther Sebastian-Gonzalez, Srdjan Krco, Dejan Drajic et al.
      Pages 328-339

    10. Classification of Subjectively Evaluated Images with Self-Enforcing Networks Using Reference Types, and a Cue Validity Factor

      • Christina Klüver, Jürgen Klüver
      Pages 340-352

    11. Advanced Home-Based Diabetes Monitoring System: Initial Real-World Experiences

      • David Díaz Jiménez, José Luis López Ruiz, Alicia Montoro Lendínez, Jesús González Lama, Macarena Espinilla Estévez
      Pages 353-364

    12. On Comparing Early and Late Fusion Methods

      • Luis Manuel Pereira, Addisson Salazar, Luis Vergara
      Pages 365-378

  2. ANN HW-Accelerators

    1. Front Matter

      Pages 379-379
      Download chapter PDF

    2. A Scalable Binary Neural Associative Memory on FPGA

      • Marius Kortekamp, Sarah Pilz, Jens Hagemeyer, Ulrich Rückert
      Pages 381-393

    3. STANN – Synthesis Templates for Artificial Neural Network Inference and Training

      • Marc Rothmann, Mario Porrmann
      Pages 394-405

    4. Digit Recognition Using Spiking Neural Networks on FPGA

      • Shamini Koravuna, Sanaullah, Thorsten Jungeblut, Ulrich Rückert
      Pages 406-417

  3. Applications of Machine Learning in Biomedicine and Healthcare

    1. Front Matter

      Pages 419-419
      Download chapter PDF

    2. Brain Tumor Segmentation Using Ensemble Deep Neural Networks with MRI Images

      • Miri Weiss Cohen
      Pages 421-432

    3. Denoising Low-Dose CT Images Using Noise2Noise and Evaluation of Hyperparameters

      • Or Man, Miri Weiss Cohen
      Pages 433-447

    4. SIA-SMOTE: A SMOTE-Based Oversampling Method with Better Interpolation on High-Dimensional Data by Using a Siamese Network

      • Rahmat Izwan Heroza, John Q. Gan, Haider Raza
      Pages 448-460
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Other volumes

  1. Advances in Computational Intelligence

  2. Advances in Computational Intelligence

Editors and Affiliations

  • University of Granada, Granada, Spain

    Ignacio Rojas

  • University of Malaga, Málaga, Spain

    Gonzalo Joya

  • Polytechnic University of Catalonia, Vilanova i la Geltrú, Spain

    Andreu Catala

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